AI for Social Good

Below is the criteria for Global AI Awards in Social Good category:

1. Design (25%)

• Quality of solution design in addressing social or humanitarian challenges (healthcare, education, equality, environment, disaster response, etc.).
• Inclusive and ethical design principles (fairness, accessibility, transparency).
• Integration with existing social systems (NGOs, governments, communities).
• Long-term sustainability and scalability of the design.

2. Impact (35%)

• Tangible improvements in people’s lives (e.g., access to services, reduced inequalities, empowerment of marginalized groups).
• Demonstrated outcomes supported by data, case studies, or testimonials.
• Contribution to global priorities such as the UN Sustainable Development Goals (SDGs).
• Positive ripple effects beyond direct users (community, environment, policy).

3. Creativity (25%)

• Innovative application of AI to solve pressing social issues in new or unexpected ways.
• Unique approaches that go beyond conventional solutions.
• Use of AI to amplify human creativity, collaboration, or advocacy for social good.
• Differentiation from existing technologies in the social impact space.

4. Ease of Use (15%)

• Accessibility for diverse user groups, especially vulnerable populations.
• Low technical and financial barriers to adoption.
• Simple, intuitive, and culturally relevant user experience.
• Support structures (training, local language features, community enablement).